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pairwiseCI (version 0.1-20)

Confidence intervals for two sample comparisons

Description

Calculation of the parametric, nonparametric confidence intervals for the difference or ratio of location parameters, nonparametric confidence interval for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial proportions for comparison of independent samples. The package provides common wrapper functions to split data sets and apply confidence intervals or tests to these subsets. A by statement allows calculation of CI separately for the levels of further factors. CI are not adjusted for multiplicity.

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Version

Install

install.packages('pairwiseCI')

Monthly Downloads

280

Version

0.1-20

License

GPL

Maintainer

Frank Schaarschmidt

Last Published

August 14th, 2012

Functions in pairwiseCI (0.1-20)

np.re

Nonparametric test and confidence interval based on relative effects
pairwiseCImethodsCont

Confidence intervals for two sample comparisons of continuous data
sodium

Sodium contents in transgenic and isogenic corn
bean

Yield of beans in a two factorial field trial
behenic

Measurements of behenic acid in two samples
pairwiseTestInt

Internal functions for pairwiseTest
pairwiseCImethodsProp

Confidence intervals for two sample comparisons of binomial proportions
pairwiseCIInt

Internal functions for pairwiseCI
summary.pairwiseCI

Summary function for pairwiseCI
pairwiseCI-package

Wrapper functions for two-sample confidence intervals and tests.
print.pairwiseTest

Print function for "pairwiseTest"
repellent

Repellent effect of sulphur in eight concentrations
pairwiseMEP

Wrapper to compute confidence intervals for multiple endpoints
plotCI.pairwiseMEP

Plot confidence intervals calculated by "pairwiseMEP"
rooting

Rooting (success/failure) of plants in a 3-factorial field trial
Prop.test

Wrapper to prop.test(stats)
profileDG

Construct a (quasi-) likelihood-profile
as.data.frame.pairwiseCI

Coercing pairwiseCI objects to data.frames
Oats

The Oats data set
print.summary.pairwiseCI

Print function for "summary.pairwiseCI"
summary.pairwiseTest

Summary function for "pairwiseTest"
pairwiseTest

Wrapper to calculate unadjusted p-values for pairwise comparisons
as.data.frame.pairwiseMEP

Coerce pairwiseMEP objects to data.frames
cabbage

Yield of cabbage in one-factorial field trial
print.pairwiseCI

Print function for "pairwiseCI"
pairwiseCImethodsCount

Confidence intervals for two sample comparisons of count data
plot.pairwiseCI

Plotting the output of pairwiseCI
pairwiseCI

Wrapper function for two-sample confidence intervals
print.summary.pairwiseTest

Print function for "summary.pairwiseTest"